Resilient Cloud Engineer

1 day ago


Surat, Gujarat, India beBeeEngineer Full time ₹ 20,08,000 - ₹ 30,11,200

Cloud Native Engineer

You will be responsible for designing and building resilient, scalable, and automated cloud environments using AWS Cloud.

Key Responsibilities:
  • Architect and implement secure, cost-efficient, and high-performing AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront).
  • Automate infrastructure provisioning and configuration using Terraform/CloudFormation and AWS SDKs.
  • Manage containerized workloads (Docker, Kubernetes, EKS).
Automation Development
  • Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI).
  • Develop custom monitoring/alerting integrations with APIs, SDKs, and third-party observability platforms.
  • Implement self-healing and resilience-focused automation scripts.
Chaos Engineering & Resiliency
  • Design and execute chaos experiments to validate system resilience.
  • Use tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
  • Partner with SRE and development teams to define SLIs, SLOs, and error budgets.
  • Document learnings from chaos tests and improve incident response and recovery playbooks.
DevOps & Observability
  • Build and maintain CI/CD pipelines for automated deployments (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline).
  • Integrate observability frameworks (Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog) for monitoring and tracing.
  • Ensure proactive alerting and real-time visibility into system health.
Security & Compliance
  • Apply AWS security best practices for IAM, networking, and data protection.
  • Ensure compliance with internal and external regulatory frameworks.

Required Skills & Qualifications:

  • 6-10 years of experience in Cloud, DevOps, or SRE roles.
  • Strong hands-on expertise in AWS Cloud (certifications preferred: AWS DevOps Engineer/Solutions Architect).
  • Advanced Python development skills for automation and tooling (Boto3 a must).
  • Experience designing and running chaos experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection).
  • Solid knowledge of IaC (Terraform/CloudFormation).
  • Proficiency in containers & orchestration (Docker, Kubernetes, EKS).
  • Strong background in monitoring, observability, and incident management.
  • Familiarity with DevOps toolchain (CI/CD, Git, Jenkins, GitLab, CodePipeline).
  • Good understanding of resilient architectures, reliability principles, and disaster recovery.


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